Influencing factors of anthracycline-induced subclinical cardiotoxicity in acute leukemia patients

医学 蒽环类 心脏毒性 亚临床感染 内科学 急性白血病 化疗 逻辑回归 白血病 前瞻性队列研究 胃肠病学 癌症 乳腺癌
作者
Xi Zhou,Yue Weng,Tiantian Jiang,Wenxin Ou,Nan Zhang,Qian Dong,Xiaoqiong Tang
出处
期刊:BMC Cancer [BioMed Central]
卷期号:23 (1) 被引量:6
标识
DOI:10.1186/s12885-023-11060-5
摘要

Abstract Background Current treatment of acute leukemia is based on anthracycline chemotherapy. Anthracyclines, despite improving patient survival, have serious cardiotoxicity and therefore cardiac monitoring should be a priority. The purpose of this study is to explore the possible early predictors of anthracycline-induced subclinical cardiotoxicity(AISC)in acute leukemia patients. Methods We conducted a prospective observational study involving 51 patients with acute leukemia treated with anthracycline. Demographic data, clinical variables, echocardiography variables and biochemical variables were collected at baseline and after 3 cycles of chemotherapy. Patients were divided into the AISC and No-AISC groups according to changes of global longitudinal peak systolic strain. Regression models and receiver operating characteristic curve analysis were used to explore the relationship between the variables and AISC. Result 17 of the patients suffered subclinical cardiotoxicity after 3 cycles of anthracycline treatment. Multiple logistic regression analysis showed a significant association of DBil (OR 0.612, 95% CI 0.409–0.916, p = 0.017), TBil (OR 0.841, 95% CI 0.717–0.986, p = 0.033), PLT (OR 1.012, 95% CI 1.002–1.021, p = 0.016) and Glu (OR 1.873, 95% CI 1.009–3.475, p = 0.047) with the development of AISC. After 3 cycles of chemotherapy, there was a significant difference in PLT between the AISC and NO-AISC groups. Moreover, the dynamic changes in PLT from baseline to after 3 cycles of chemotherapy were each statistically significant in the AISC and NO-AISC groups. The combination of PLT and N-terminal pro–B-type natriuretic peptide (NT-proBNP) had the highest area under curves (AUC) for the diagnosis of AISC than PLT and NT-proBNP alone (AUC = 0.713, 95%CI: 0.56–0.87, P = 0.017). Conclusion Total bilirubin (TBil), direct bilirubin (DBil), platelets (PLT) and blood glucose (Glu) are independent influencing factors for AISC in acute leukemia patients receiving anthracycline therapy. Bilirubin may be a protective factor and PLT may be a contributing factor for AISC. The combination of baseline PLT and baseline NT-proBNP shows satisfactory predictive ability for AISC in acute leukemia cases treated with 3 cycles of chemotherapy.
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